International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

Predicting Stock Prices Using Future EPS Estimates And Historical PE Ratios: A Dual-Bound Approach

Author(s) Ayan Chaudhuri
Country India
Abstract This paper introduces a practical stock valuation method that combines the 52-week average Price/Earnings (PE) ratio with future Earnings Per Share (EPS) estimates to predict stock price movements over a two-year horizon. Traditional valuation techniques, such as Discounted Cash Flow (DCF) and PE ratio analysis, often encounter challenges due to their complexity or oversimplification. By utilizing the 52-week average PE ratio and future EPS estimates, this approach aims to provide a balanced and realistic forecast, mitigating the extremes of market volatility. Through the analysis of two case studies—NSE: IEX and NSE: CMSINFO—the paper demonstrates the effectiveness of this method in assessing whether stocks at their all-time highs are overvalued and in predicting future price appreciation. The applications of this method extend to evaluating stock purchase timing, setting investment targets, risk assessment, market trend analysis, and portfolio management. Despite its advantages, the method's limitations include dependence on accurate EPS estimates, sensitivity to market sentiment, sector variability, and potential short-term volatility. Overall, the proposed method offers a valuable addition to traditional stock valuation techniques, providing investors with a practical tool for informed decision-making.
Field Sociology > Banking / Finance
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-06-08
Cite This Predicting Stock Prices Using Future EPS Estimates And Historical PE Ratios: A Dual-Bound Approach - Ayan Chaudhuri - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.22291
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.22291
Short DOI https://doi.org/gtzjk3

Share this